parallel-deep-research

Coordinate multi-agent research with deduplicated source ownership and cited report generation.

Updated Jul 3, 2026
One-click install
npx skills add https://github.com/Reidond/Banshee --skill parallel-deep-research-reidond
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-deep-research
Source: https://github.com/Reidond/Banshee/tree/main/.claude/skills/parallel-deep-research
Command: npx skills add https://github.com/Reidond/Banshee --skill parallel-deep-research-reidond

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the challenge of coordinating complex multi-source research by preventing duplicated analysis and ensuring every source has a dedicated owner.

Core Features & Use Cases

  • Source Planning and Deduplication: Builds a source manifest that assigns each relevant source to exactly one research owner while removing duplicates.
  • Multi-Agent Research Coordination: Fans out specialized research tasks across agents, enforces disjoint source ownership, and collects structured findings.
  • Use Case: Use this Skill when creating a comprehensive market analysis, literature review, or technical investigation that requires multiple agents to research different sources without overlapping work.

Quick Start

Ask the parallel deep research skill to investigate your topic with multiple agents and produce a cited report without duplicate source analysis.

Frequently Asked Questions about parallel-deep-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multi-agent research without duplicated source analysis?

To coordinate multi-agent research without duplication, use a source manifest that assigns each relevant source to exactly one research owner, enforces disjoint ownership, and validates findings before synthesizing the final report.

What is source planning and deduplication in multi-source research workflows?

Source planning and deduplication in multi-source research involves building a structured manifest that removes duplicate references and assigns unique ownership to each agent, ensuring comprehensive coverage without overlapping work.

How does evidence-based synthesis work with multiple research agents?

Evidence-based synthesis with multiple research agents works by collecting structured findings from each agent after they research their assigned disjoint sources, then combining these validated findings into a single cited report.

When do I need multi-agent orchestration for complex research tasks?

You need multi-agent orchestration for complex research tasks like market analysis, literature reviews, or technical investigations when multiple agents must research different sources simultaneously without overlapping work or duplicated analysis.

Can I generate a cited report from parallel research without overlapping work?

Yes, you can generate a cited report from parallel research by fanning out specialized tasks across agents, enforcing disjoint source ownership, tracking citations, and synthesizing the collected structured findings into a final document.

What are the limitations of using disjoint source ownership for research coordination?

Disjoint source ownership requires strict ownership validation and orchestration to prevent overlap, meaning it is best suited for complex investigations needing structured manifests rather than simple, single-source queries.